基于大数据技术的35kV配电网线损无功补偿方法  

35kV Distribution Network Line Loss and Reactive Power Compensation Method Based on Big Data Technology

作　　者：谢红卉 XIE Honghui(Hangzhou Xiaoshan Power Supply Company,Hangzhou,Zhejiang 311200,China)

机构地区：[1]杭州萧山供电公司,浙江杭州311200

出　　处：《自动化应用》2024年第20期49-51,54,共4页Automation Application

摘　　要：当前的35 kV配电网线损无功补偿约束条件一般为单层级,导致无功补偿极限损耗值加大,为此,提出了基于大数据技术的35 kV配电网线损无功补偿方法。利用大数据技术的配电网线损补偿节点定位,构建35 kV配电网线损无功补偿模型,设定配电网线损多阶约束条件,求解35 kV配电网线损无功补偿模型,从而实现35 kV配电网线损无功补偿。设计对比实验,实验结果证明该方法的无功补偿极限损耗值均被较好地控制在了150 kW以下,在无功补偿的过程中控制效果更佳,具有实际的应用价值。The current constraint conditions for line loss and reactive power compensation in 35 kV distribution networks are generally single-layer,which leads to an increase in the limit loss value of reactive power compensation.Therefore,a 35 kV distribution network line loss and reactive power compensation method based on big data technology is proposed.Using big data technology to locate the nodes for line loss compensation in distribution networks,constructing a 35 kV distribution network line loss and reactive power compensation model,setting multi-level constraint conditions for distribution network line loss,solving the 35 kV distribution network line loss and reactive power compensation model,thereby achieving 35 kV distribution network line loss and reactive power compensation.Design comparative experiments,and the experimental results show that the maximum loss value of reactive power compensation of this method is well controlled below 150 kW.The control effect is better in the process of reactive power compensation,and it has practical application value.

关 键 词：大数据技术 35 KV配电网 线损 无功补偿方法 多阶约束条件 

分 类 号：G642[文化科学—高等教育学]